Generating random numbers and their usage
Random numbers are just like any other number in their property except for the fact that they assume a different value every time the call statement to generate a random number is executed. Random number generating methods use certain algorithms to generate different numbers every time, which are beyond the scope of this book. However, after a finitely large period, they might start generating the already generated numbers. In that sense, these numbers are not truly random and are sometimes called pseudo-random numbers.
In spite of them actually being pseudo-random, these numbers can be assumed to be random for all practical purposes. These numbers are of critical importance to predictive analysts because of the following points:
They allow analysts to perform simulations for probabilistic multicase scenarios
They can be used to generate dummy data frames or columns of a data frame that are needed in the analysis
They can be used for the random sampling...
